| End-to-end Multi-task Learning with Attention S Liu, E Johns, AJ Davison 2019 Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 325 | 2019 |
| Pairwise Decomposition of Image Sequences for Active Multi-view Recognition E Johns, S Leutenegger, AJ Davison 2016 Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 223 | 2016 |
| Transferring End-to-end Visuomotor Control from Simulation to Real World for a Multi-stage Task S James, AJ Davison, E Johns 2017 Conference on Robot Learning (CoRL), 2017 | 219 | 2017 |
| Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty E Johns, S Leutenegger, AJ Davison 2016 International Conference on Intelligent Robots and Systems (IROS), 2016 | 217 | 2016 |
| PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors V Balntas, E Johns, L Tang, K Mikolajczyk arXiv preprint, 2016 | 161 | 2016 |
| An Intelligent Food-intake Monitoring System using Wearable Sensors J Liu, E Johns, L Atallah, C Pettitt, B Lo, G Frost, GZ Yang 2012 International Conference on Wearable and Implantable Body Sensor …, 2012 | 113 | 2012 |
| Feature Co-occurrence Maps: Appearance-based Localisation Throughout the Day E Johns, GZ Yang 2013 International Conference on Robotics and Automation (ICRA), 2013 | 110 | 2013 |
| 3D Simulation for Robot Arm Control with Deep Q-learning S James, E Johns 2016 NeurIPS Workshop on Deep Learning for Action and Interaction, 2016 | 78 | 2016 |
| Becoming the expert-interactive multi-class machine teaching E Johns, O Mac Aodha, GJ Brostow 2015 Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 64 | 2015 |
| Self-supervised Generalisation with Meta Auxiliary Learning S Liu, AJ Davison, E Johns 2019 Conference on Neural Information Processing Systems (NeurIPS), 2019 | 60 | 2019 |
| Self-supervised siamese learning on stereo image pairs for depth estimation in robotic surgery M Ye, E Johns, A Handa, L Zhang, P Pratt, GZ Yang Hamlyn Symposium on Medical Robotics 2017, 2017 | 56 | 2017 |
| Generative Methods for Long-term Place Recognition in Dynamic Scenes E Johns, GZ Yang International Journal of Computer Vision (IJCV), 2014 | 45 | 2014 |
| From images to scenes: Compressing an image cluster into a single scene model for place recognition E Johns, GZ Yang 2011 International Conference on Computer Vision (ICCV), 2011 | 35 | 2011 |
| Application-oriented design space exploration for SLAM algorithms S Saeedi, L Nardi, E Johns, B Bodin, PHJ Kelly, AJ Davison International Conference on Robotics and Automation (ICRA), 2017 | 31 | 2017 |
| Dynamic scene models for incremental, long-term, appearance-based localisation E Johns, GZ Yang International Conference on Robotics and Automation (ICRA), 2013 | 30 | 2013 |
| Sim-to-Real Transfer for Optical Tactile Sensing Z Ding, NF Lepora, E Johns 2020 International Conference on Robotics and Automation (ICRA), 2020 | 19 | 2020 |
| Crossing The Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics E Valassakis, Z Ding, E Johns 2020 International Conference on Intelligent Robots and Systems (IROS), 2020 | 16 | 2020 |
| Online Scene Association for Endoscopic Navigation M Ye, E Johns, S Giannarou, GZ Yang International Conference on Medical Image Computing and Computer-Assisted …, 2014 | 15 | 2014 |
| Pairwise Probabilistic Voting: Fast Place Recognition without RANSAC ED Johns, GZ Yang European Conference on Computer Vision (ECCV), 2014 | 15 | 2014 |
| RANSAC with 2D geometric cliques for image retrieval and place recognition E Johns, GZ Yang CVPR 2015 Workshop on Visual Place Recognition in Changing Environments, 2015 | 13 | 2015 |
Andrew DavisonProfessor of Robot Vision, Department of Computing, Imperial College LondonBestätigte E-Mail-Adresse bei doc.ic.ac.uk
